Supply Distribution Center Planning in UAV-based Logistics Networks for Post-Disaster Supply Delivery

Huang, Yang H.; Han, Han; Zhang, Bo; Su, Xisheng; Gong, Zhansheng

doi:10.1109/healthcom49281.2021.9399012

Cited by 6 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A few recent studies focus on the deployment of UAVs in vaccine and healthcare deliveries. For example, Huang et al [22] discussed UAV co-operative path-planning using ant colony and grey wolf optimizations. They considered the service capability of heterogeneous nodes at different demand points.…”

Section: State-of-the-artmentioning

confidence: 99%

SanJeeVni: Secure UAV-Envisioned Massive Vaccine Distribution for COVID-19 Underlying 6G Network

et al. 2023

View full text Add to dashboard Cite

Recently, unmanned aerial vehicles (UAVs) are deployed in Novel Coronavirus Disease-2019 (COVID-19) vaccine distribution process. To address issues of fake vaccine distribution, real-time massive UAV monitoring and control at nodal centers (NCs), the authors propose SanJeeVni, a blockchain (BC)-assisted UAV vaccine distribution at the backdrop of sixth-generation (6G) enhanced ultra-reliable low latency communication (6G-eRLLC) communication. The scheme considers user registration, vaccine request, and distribution through a public Solana BC setup, which assures a scalable transaction rate. Based on vaccine requests at production setups, UAV swarms are triggered with vaccine delivery to NCs. An intelligent edge offloading scheme is proposed to support UAV coordinates and routing path setups. The scheme is compared against fifth-generation (5G) uRLLC communication. In the simulation, we achieve and 86% improvement in service latency, 12.2% energy reduction of UAV with 76.25% more UAV coverage in 6G-eRLLC, and a significant improvement of ≈199.76% in storage cost against the Ethereum network, which indicates the scheme efficacy in practical setups.

show abstract

Section: State-of-the-artmentioning

confidence: 99%

SanJeeVni: Secure UAV-Envisioned Massive Vaccine Distribution for COVID-19 Underlying 6G Network

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Unmanned Aerial Vehicles (UAV) technology is a rapidly evolving field of study and is being utilized for various applications such as 3D map generation [1], transport and logistics [2], swarming [3][4], and more [5]. UAV swarming is a concept where two or more UAV or aerial drones would simultaneously fly around given a control implementation.…”

Section: Introductionmentioning

confidence: 99%

A Performance Analysis on Drone Loco Positioning System for Two-Way Ranging Protocol

Chu

Chua²,

Sybingco³

et al. 2022

AEJ

View full text Add to dashboard Cite

Localization is vital in UAV operation as it monitors the position of each drone in a workspace. Existing localization techniques such as GPS are limited for outdoor implementations and cannot be implemented inside closed spaces or GPS denied areas. To address this concern localization techniques, such as vision systems and radio systems, are developed. The drawback of vision systems is the cost of implementation as the system usually requires multiple cameras strategically positioned around the experimental space to monitor the aerial drone’s position and orientation. Radio localization, on the other hand, is a cheaper alternative for indoor localization as it requires only a set of anchor and tags that communicates through a certain radio frequency; however, experimental setups and materials on this localization technique is limited at this time. This paper offers an analysis of the performance of the loco positioning system, a form of radio localization, through varying configurations for swarm drone applications. The Loco Positioning System possesses two protocols; and this paper focuses on the Two-Way Ranging protocol. The study presents different setup configurations governed by 2 parameters; number of anchors used, and the distance set between anchors, and their corresponding performances. Data showed that an increase in anchor count from 3 to 6 decreases error from 25.96% to 8.45%, and that decreasing the distance between anchors 0.6 m to 1 m would give a minimal increase in error. Users may use these performance reports to determine their ideal setup based on the mentioned parameters.

show abstract

Multi-UAV Network Logistics Task Allocation Algorithm Based on Mean-Field-Type Game

Zhou

2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

Supply Distribution Center Planning in UAV-based Logistics Networks for Post-Disaster Supply Delivery

Cited by 6 publications

References 6 publications

SanJeeVni: Secure UAV-Envisioned Massive Vaccine Distribution for COVID-19 Underlying 6G Network

SanJeeVni: Secure UAV-Envisioned Massive Vaccine Distribution for COVID-19 Underlying 6G Network

A Performance Analysis on Drone Loco Positioning System for Two-Way Ranging Protocol

Multi-UAV Network Logistics Task Allocation Algorithm Based on Mean-Field-Type Game

Contact Info

Product

Resources

About